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International Conference on Food Safety and Regulatory Measures. Elemental profile and Sr isotope ratio as fingerprints for geographical traceability of Romanian Wines. Geana Elisabeta-Irina , Sandru Claudia, Dinca Oana Romina, Miricioiu Marius, Ionete Roxana Elena.
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International Conference on Food Safety and Regulatory Measures Elemental profile and Sr isotope ratio as fingerprints for geographical traceability of Romanian Wines Geana Elisabeta-Irina, Sandru Claudia, Dinca Oana Romina, Miricioiu Marius, Ionete Roxana Elena National R&D Institute for Cryogenics and Isotopic Technologies, ICSI Rm. Valcea, Romania. Birmingham, UK, 17-19 August 2015
Summary • Background • Chemometric applications in food chemistry • Purpose • Instrumental analytical techniques • Results and discussions I. Geographical origin identification of Romanian wines by ICP-MS elemental analysis II. Differentiation of Romanian wines on geographical origin by elemental composition and phenolic components III. Geographical traceability of wines based on 87Sr/86Sr isotopic ratio and multi-element composition • 6. Conclusions 2/28
Background • Assessments of wine traceability and authenticity become a prerequisite in many countries worldwide. • The geographical traceability of wine is an important issue in the context of wine authentication • Wineis a product widely consumed around the world and dueto their high economic value (quality wines), wines adulteration is tempting, generally being motivated by maximizing profit using false declaration of origin, vintage year. • Development of methods giving reliable information about wine authenticity is highly desirable for consumers, producers and administrative authorities. NECESSITY !!!!!! Suitable tools for characterization and classification of wines according to the geographical origin, grape variety and vintage year . 3/28
Background • Wine is a complex matrix which contains many classes of compounds like sugars, alcohols, acids, tannins, polyphenols, minerals, proteins, amino acids. Natural diffusion movement of elemental traces • Its composition is influenced by many factors related to the specific production area, like climate, soil, grape variety, ripening of the grapes and winemaking techniques. 4/28
Chemometric applications in food chemistry • Building mathematical–statistical models based on quantitative and qualitative information about the natural wine constituents • Mineral and trace elements • Isotopic ratio • Volatile compounds • Amino acids • Sugars • Organic acids • Phenolics • Anthocyanins • Geographical origin • Wine variety • Vintage • Technological characteristics • Adulteration practices Geographical origin Wine variety Isotopic ratios (13C/12C, 18O/16O and D/H) and mineral determinations Natural organic constituents Vintage year 5/28
Purpose • To assess the potential of elemental wine composition for classification of wines produced in most important Romanian vineyards according to their geographical origin. • Oltenia (Dragasani vineyard) • Banat (Recas and Minis vineyards) • Dobrogea (Murfatlar vineyard), • Muntenia (Valea Calugareasca vineyard) • Moldova (Iasi, Cotnari, Panciu, Odobesti, Nicoresti and Bujoru vineyards) 6/28
Instrumental analytical techniques and equipments • Inductively coupled plasma mass spectrometry (ICP-MS) • Flame atomic absorption spectroscopy (FAAS) • Graphite furnace atomic absorption spectroscopy (GF-AAS) Statistical techniques: PCA, LDA, ANOVA • Mars 5 Microwave System 7/28
I. Results and discussions Cr, Ni, Rb, Sr, Ag, Zn, Mn, Cu, Co, V, Pb and Be Murfatlar 60 authentic Romanian wines / 2009 and 2010 harvests Valea Calugareasca Moldova 8/28
Mean concentration of trace – elements across the wine producing areas Concentration of elements in the 60 analyzed wine samples 9/28
The contribution of trace – elements concentration across the investigated wine varieties • Feteasca Regala,FR • Feteasca Alba, FA • Columna, CO • Tamaioasa Romaneasca, TR • Grasa de Cotnari, GR • Francusa, FC • Saugvinon, S • Pinot Gris, PG • Chardonnay, C • Riesling Italian, RI • Muscat Ottonel, MO • Cabernet Saugvinon, CS • Pinot Noir, PN • Merlot, M • Burgund Mare, BM • Mamaia, MM • Babeasca Neagra, BN • Feteasca Neagra, FN 10/28
Correlation of Mn element with Cr, Sr, Rb, Ag and Co to differentiate the origin of wine samples • The correlation of Mn with Cr, Sr, Rb, Ag or Co content in wines shows a reasonable degree of discrimination of wines by geographical origin. 11/28
Geographical origin classification based on elemental profile PC1 - 42% PC2 - 27% PC3 - 14% Score plot of the three principal components of trace-elements in the Romanian wine samples • is possible to explain 83 % of the variability among samples 12/298
Geographical origin classification Elemental profile Elemental profile + izotopic variables (δ13C and δ18O) 13/28
Correlation of trace-elements from wines and their provenance soil Graphical representation of elements average concentration in soil samples. Ni, Ag, Be, Cr, Zn, Pb, Co, Cu 14/28
II. Results and discussions Li, Be, Co, Ni, Cs, U, Pb, V, As, Ba, Cr, Cu, Zn, Al, Mn, Rb, Sr, Fe, Ca, Mg, Na, K gallic acid, (+)-catechin, (−)-epicatechin, p-coumaric acid, ferulic acid, trans-cinnamic acid, resveratrol 22 authentic wine samples / 2008-2011 harvests Dragasani I Dragasani S Recas 15/28
Experimental results of selected elements in studied wines (μg L−1) 16/28
Concentration (mg L−1) of phenolic compounds in Romanian wines Radar plot of phenolic compounds (mg L−1) in Dragasani wine native varieties 17/28
Correlation of elements to differentiate the origin of wine samples 18/28
Wines geographical origin classification - PCA analysis Elemental profile is possible to explain 54 % of the variability among samples 62 % classification was achieved Elemental and phenolic profiles PCA score of wine from Dragasani S, Dragasani I, and Recas vineyards 19/28
Geographical Origin Classification based on elemental compositon Ba Be Cr Li Mg Na MnAg Co Sr Discriminant analysis showing separation between geographical region 20/28
III. Results and discussions Geographical traceability of wines based on 87Sr/86Sr isotopic ratio and multi-element composition 21 red wine (DOC and IG - DealurileVrancei and TeraseleDunării) / 2012 and 2013 harvests - FeteascăNeagră and Merlot varieties • Samples preparation – microwave acid digestion • Aparatus: • ICP-QMS – elemental (Li, Ga, Se, Ag, Tl, Pb, Ni, Cr, Ba, Zn, Sr, Rb ) and isotopic determinations (87Sr/86Sr) • F-AAS - Mn, Fe, Ca, Mg, Na and K • GF-AAS – Al and Cu • Sr isotope analysis: • Rb/Sr separation – to eliminate the isobaric interferences of 87Sr with 87Rb • Optimization of instrumental parameters 21/28
Rb/Sr separation - Ion exchange chromatography Wine extract: Sr, Rb, Ca, Mg, K, Na, Fe before Dowex 50W-X8 resin H+ (50-100 mesh) Mass spectra for multielement standard solution after Ca, Mg - EDTA 0.02 M (pH=5.5) Sr – EDTA 0.05 M (pH=7) Vorster, C. et all., Analytical and Bioanalytical Chemistry, 2008, 392(1-2), 287–296. 22/28
Optimization of instrumental parameters • Sr isotope determinations: • Thermal Ionization Mass Spectrometer (TIMS) • Multicollector-Inductively Coupled Plasma Mass Spectrometer (MC-ICPMS) • Inductively coupled plasma sector field multicollector mass spectrometer (ICP-SF-MC-MS) • Quadrupole Inductively Coupled Plasma Mass Spectrometer (ICP-QMS) NIST SRM 987, SrCO3 (NIST, USA) Instrumental (a) and data acquisition (b) parameters of ICP-QMS Mass spectra 23/28
Sr isotopic determinations Analytical results on standard material NIST SRM 987 – 87Sr/86Sr = 0.71034 Isotope ratio 87Sr/86Sr of wine samples • Strontium isotope ratios of the 21 Romanian wines ranged from • 0.71015 - 0.72311 0.70870 - 0.71300 – Modena, Italy 0.70762 - 0.71069 – 4 regions in Italy 0.7072 – 0.7104 – 3 regions in Argentina Durante et all., Food Chemistry 141 (2013) 2779–2787 Marchionni et all., J. Agric. Food Chem. 2013, 61, 6822−6831 Di Paola-Naranjo et all., J. Agric. Food Chem. 2011, 59, 7854–7865 24/28
Elemental content of wines, depending on the geographical origin (in µg/L or * mg/L) 25/28
Wines geographical origin discrimination Elemental profile • 100% successful classification of wines Elemental profile and isotope ratio 87Sr/86Sr 26/28
CONCLUSIONS • A correlation was observed between the elemental composition of the wine and its provenance soil. • This premise is important for the application of the fingerprinting methodology based on multi-element data and statistical analysis for the classification of Romanian wines according to geographical origin, even for very close areas within the same region. • Our results show that wine geographical origin may be distinguished based on elemental analysis and Sr isotope ratio. • On the other hand, the use of Sr isotope ratio as tracer for wines geographical origin require performant instruments which are not accessible for many laboratories and in this way, elemental profile is an important tool for tracing the geographic authenticity and provenance of wines. • We intend to improve our criteria for classification by analyzing a large number of samples of the same wine variety obtained from the studied geographical regions. • The results of this study constitute the starting point in building a database for Romanian wines. These methodologies can be applied for classification of unknown wine according to geographical origin. 27/28
Acknowledgements Romanian Ministry of Education and Research, National Authority for Scientific Research Thankyou for your attention! 28/28